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BioMiner - Data analysis



BioMiner Flyer (830 KB)

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GeneSpotter

BioMiner

 

BioMiner is a universal modular data-mining platform.
Its broad range of functions and revolutionary, simple-to-use graphic user-interface provides even non-specialists with the chance of successfully solving wide-ranging data-mining tasks. Once data analysis pipelines have been established, they can be stored and used again as often as needed or exchanged with other BioMiner users. Efficient data-base interfaces and the opportunity of client-server operation make BioMiner the optimal tool for dealing with the flood of information in molecular biology. Our multi-function data-mining platform works with various scaling methods and data formats. BioMiner is a modular system and can be enhanced.

Special Features:

 

 

Easy-to-use graphic interface offers

  • Choice of primary data sources
  • Choice of modules
  • Choice of filter parameters
  • Configuration of a customised processing pipeline
  • Export of results

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Efficient treatment of large data records via

  • Quick choice of primary data sources
  • Selection of specific subsets via graphic interfaces
  • Control of data flows
  • Abstract data management with XML-based data-exchange format and integrated data-base interface
  • Threaded processing for complex fractional calculations
  • Completely automatic update on results when parameter values are changed
 

 

BioMiner - 3-D-Histogram

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Pattern matching with search for

  • Expression profiles
  • Regular expressions
  • Generalised profiles

 

Intuitive interfaces for visualisation and interaction

  • Graphs
  • Histograms
  • Scatterplots
 

 

Comprehensive record of modules for

  • Scaling array data
  • Scaling reference signals
  • Calibration curves to determine intensity
  • Correcting spatial variations

 

Clustering

  • K means
  • Hierarchical methods
  • Kohonen Networks
  • Singular value decomposition
  • Support vector machines

 

 

 

Statistical Analysis

  • Test for significance
    • t-Test
    • Whitney-Mann-Wilcoxon-Test
  • p-value adapted for multiple testing
    • Single and multi-process and Westfall&Young; Korrektur
  • ANOVA methods
  • Quality parameter management (p-values)

 

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